The task of CMC is defined as: Given a passage \(P\) , the conversation history in the form of question-answer pairs
{\(Q_1,A_1,Q_2,A_2,...,Q_{i-1},A_{i-1}\rbrace \)  and a question \(Q_i\) , the model needs to predict the answer \(A_i\). The answer \(A_i\)  can either be a text span \((s_i, e_i)\)  [1]} or a free-form text \(\lbrace a_{i,1},a_{i,2},..., a_{i,j}\rbrace \)  with evidence \(R_i\)  [2]}. Single-turn MRC models cannot directly cater to CMC, as the latter is much more challenging to address. The major challenges being:
